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This paper investigates the use of multi-linear regression models (MLRMs) and machine learning techniques for online voltage stability margin prediction. The methodology relies upon the relationship between system wide reactive power reserves and voltage stability margin. A comprehensive voltage stability assessment considering an extensive contingency list and several load increase directions is...
Voltage stability in power system is influenced by reactive support at various locations. It is desirable to monitor the reactive power reserves as system conditions change. There is a need to find a relationship between the reactive power reserves and system security with respect to voltage stability margin and voltage violations. In this paper we have investigated how different approaches of generator...
This paper describes the application of modified Particle Swarm Optimization (PSO) called Fitness Distance Ratio PSO (FDR PSO) algorithm to determine the optimal power dispatch of the Independent Power Producers (IPP) in deregulated environment. Generally the power producers must respond quickly to the changes in load and wheeling transactions. During this process, the ramping cost must be incurred...
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